Job Description
Join the Future with 2026 Innovations
We are on a mission to revolutionize the digital landscape. As a Principal Generative AI Engineer, you will lead the charge in developing next-generation Large Language Models (LLMs) and autonomous agents. If you are passionate about pushing the boundaries of artificial intelligence and want to build systems that define the year 2026, we want to hear from you.
Why Join Us?
- Work with state-of-the-art technology and cutting-edge infrastructure.
- Competitive compensation package and equity options.
- Flexible work environment in the heart of San Francisco.
Responsibilities
- Architect and deploy scalable Generative AI models, including LLMs and diffusion models, for production environments.
- Lead the research and implementation of novel techniques in fine-tuning, reinforcement learning from human feedback (RLHF), and prompt engineering.
- Optimize model inference latency and reduce computational costs using quantization and distillation techniques.
- Collaborate with cross-functional teams of engineers, product managers, and designers to define AI product requirements.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Ensure the ethical use of AI, addressing bias, safety, and interpretability concerns.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research or shipping high-impact AI products.
- Strong understanding of NLP concepts, transformer architectures, and modern deep learning frameworks.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.